語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Beginner’s Guide to Learning Analytics
~
SpringerLink (Online service)
A Beginner’s Guide to Learning Analytics
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A Beginner’s Guide to Learning Analytics/ by Srinivasa K G, Muralidhar Kurni.
作者:
K G, Srinivasa.
其他作者:
Kurni, Muralidhar.
面頁冊數:
XIII, 326 p. 40 illus., 38 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Education. -
電子資源:
https://doi.org/10.1007/978-3-030-70258-8
ISBN:
9783030702588
A Beginner’s Guide to Learning Analytics
K G, Srinivasa.
A Beginner’s Guide to Learning Analytics
[electronic resource] /by Srinivasa K G, Muralidhar Kurni. - 1st ed. 2021. - XIII, 326 p. 40 illus., 38 illus. in color.online resource. - Advances in Analytics for Learning and Teaching,2662-2130. - Advances in Analytics for Learning and Teaching,.
Chapter 1 -- Introduction to Learning Analytics -- 1.1. Introduction to Learning Analytics -- 1.2. Learning analytics: A new and rapidly developing field -- 1.3. Benefits and Challenges of learning analytics -- 1.4. Ethical Concerns with Learning Analytics -- 1.5. Use of Learning analytics -- 1.6. Conclusion -- 1.7. Review Questions -- Chapter 2 Educational Data Mining & Learning Analytics -- 2.1. Introduction -- 2.2. Educational Data Mining (EDM) -- 2.3. Educational Data Mining & Learning analytics -- 2.4. Educational Data Mining & Learning analytics Applications -- 2.5. Conclusion -- 2.6. Review Questions -- Chapter 3.-Preparing for Learning Analytics -- 3.1. Introduction -- 3.2. Role of Psychology in Learning analytics -- 3.3. Architecting the learning analytics environment -- 3.4. Major Barriers for adopting Learning Analytics.-3.5. Case Studies -- 3.6. Conclusion -- 3.7. Review Questions -- Chapter 4. Data requirements for Learning analytics -- 4.1. Introduction -- 4.2. Types of data used for Learning Analytics -- 4.3. Data Models used to represent usage data for Learning analytics -- 4.4. Data Privacy maintenance in Learning analytics -- 4.5. Case Studies -- 4.6. Conclusion -- 4.7. Review Questions -- Chapter 5. Tools for Learning Analytics -- 5.1. Introduction -- 5.2. Popular Learning Analytics Tools -- 5.3. Choosing a Tool -- 5.4. Strategies to Successfully Deploy a Tool -- 5.5. Exploring Learning Analytics Tools -- 5.6. Case Studies -- 5.7. Developing a Learning analytics Tool -- 5.8. Conclusion -- 5.9. Review Questions.-Chapter 6 -- Other Technology Approaches to Learning Analytics -- 6.1. Introduction -- 6.2. Big Data & Learning Analytics -- 6.3. Data Science & Learning Analytics -- 6.4. AI & Learning Analytics -- 6.5. Machine Learning & Learning Analytics -- 6.6. Deep Learning & Learning Analytics -- 6.7. Case Studies -- 6.8. Conclusion -- 6.9. Review Questions -- Chapter 7 -- Learning Analytics in Massive Open Online Courses -- 7.1 Introduction to MOOCs -- 7.2. From MOOCs to Learning analytics -- 7.3. Integrating Learning analytics with MOOCs -- 7.4. Benefits of applying Learning Analytics in MOOCs -- 7.5. Major Concerns of implementing Learning Analytics in MOOCs -- 7.6. Limitation of Applying Learning Analytics in MOOCs -- 7.7. Tools that support Leaning analytics in MOOCs -- 7.8. Case Studies -- 7.9. Conclusion -- 7.10. Review Questions -- Chapter 8 -- The Pedagogical perspective of Learning Analytics -- 8.1. Introduction to Pedagogy -- 8.2. Learning Analytics based Pedagogical Framework -- 8.3. Pedagogical Interventions -- 8.4. Learning Analytics based Pedagogical Models -- 8.5. Case studies -- 8.6. Conclusion -- 8.7. Review Questions -- Chapter 9. Moving Forward -- 9.1. Self-Learning and Learning analytics -- 9.2. Lifelong learning and learning analytics -- 9.3. Present and future trend of learning analytics in the world -- 9.4. Measuring 21st Century Skills using Learning analytics -- 9.5. Moving Forward -- 9.6. Smart Learning analytics -- 9.7. Case Studies -- 9.8. Conclusion -- 9.9. Review Questions.-Chapter 10 -- Case Studies -- 10.1. Recommender systems using learning analytics -- 10.2. Learning Analytics in Higher Education -- 10.3. Other Evidences on the use of Learning Analytics -- Chapter 11. Problems.
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
ISBN: 9783030702588
Standard No.: 10.1007/978-3-030-70258-8doiSubjects--Topical Terms:
555912
Education.
LC Class. No.: L1-991
Dewey Class. No.: 370
A Beginner’s Guide to Learning Analytics
LDR
:06077nam a22004095i 4500
001
1051869
003
DE-He213
005
20210820093607.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030702588
$9
978-3-030-70258-8
024
7
$a
10.1007/978-3-030-70258-8
$2
doi
035
$a
978-3-030-70258-8
050
4
$a
L1-991
072
7
$a
JN
$2
bicssc
072
7
$a
EDU000000
$2
bisacsh
072
7
$a
JN
$2
thema
082
0 4
$a
370
$2
23
100
1
$a
K G, Srinivasa.
$e
author.
$0
(orcid)0000-0003-1022-8431
$1
https://orcid.org/0000-0003-1022-8431
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1356476
245
1 2
$a
A Beginner’s Guide to Learning Analytics
$h
[electronic resource] /
$c
by Srinivasa K G, Muralidhar Kurni.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XIII, 326 p. 40 illus., 38 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Advances in Analytics for Learning and Teaching,
$x
2662-2130
505
0
$a
Chapter 1 -- Introduction to Learning Analytics -- 1.1. Introduction to Learning Analytics -- 1.2. Learning analytics: A new and rapidly developing field -- 1.3. Benefits and Challenges of learning analytics -- 1.4. Ethical Concerns with Learning Analytics -- 1.5. Use of Learning analytics -- 1.6. Conclusion -- 1.7. Review Questions -- Chapter 2 Educational Data Mining & Learning Analytics -- 2.1. Introduction -- 2.2. Educational Data Mining (EDM) -- 2.3. Educational Data Mining & Learning analytics -- 2.4. Educational Data Mining & Learning analytics Applications -- 2.5. Conclusion -- 2.6. Review Questions -- Chapter 3.-Preparing for Learning Analytics -- 3.1. Introduction -- 3.2. Role of Psychology in Learning analytics -- 3.3. Architecting the learning analytics environment -- 3.4. Major Barriers for adopting Learning Analytics.-3.5. Case Studies -- 3.6. Conclusion -- 3.7. Review Questions -- Chapter 4. Data requirements for Learning analytics -- 4.1. Introduction -- 4.2. Types of data used for Learning Analytics -- 4.3. Data Models used to represent usage data for Learning analytics -- 4.4. Data Privacy maintenance in Learning analytics -- 4.5. Case Studies -- 4.6. Conclusion -- 4.7. Review Questions -- Chapter 5. Tools for Learning Analytics -- 5.1. Introduction -- 5.2. Popular Learning Analytics Tools -- 5.3. Choosing a Tool -- 5.4. Strategies to Successfully Deploy a Tool -- 5.5. Exploring Learning Analytics Tools -- 5.6. Case Studies -- 5.7. Developing a Learning analytics Tool -- 5.8. Conclusion -- 5.9. Review Questions.-Chapter 6 -- Other Technology Approaches to Learning Analytics -- 6.1. Introduction -- 6.2. Big Data & Learning Analytics -- 6.3. Data Science & Learning Analytics -- 6.4. AI & Learning Analytics -- 6.5. Machine Learning & Learning Analytics -- 6.6. Deep Learning & Learning Analytics -- 6.7. Case Studies -- 6.8. Conclusion -- 6.9. Review Questions -- Chapter 7 -- Learning Analytics in Massive Open Online Courses -- 7.1 Introduction to MOOCs -- 7.2. From MOOCs to Learning analytics -- 7.3. Integrating Learning analytics with MOOCs -- 7.4. Benefits of applying Learning Analytics in MOOCs -- 7.5. Major Concerns of implementing Learning Analytics in MOOCs -- 7.6. Limitation of Applying Learning Analytics in MOOCs -- 7.7. Tools that support Leaning analytics in MOOCs -- 7.8. Case Studies -- 7.9. Conclusion -- 7.10. Review Questions -- Chapter 8 -- The Pedagogical perspective of Learning Analytics -- 8.1. Introduction to Pedagogy -- 8.2. Learning Analytics based Pedagogical Framework -- 8.3. Pedagogical Interventions -- 8.4. Learning Analytics based Pedagogical Models -- 8.5. Case studies -- 8.6. Conclusion -- 8.7. Review Questions -- Chapter 9. Moving Forward -- 9.1. Self-Learning and Learning analytics -- 9.2. Lifelong learning and learning analytics -- 9.3. Present and future trend of learning analytics in the world -- 9.4. Measuring 21st Century Skills using Learning analytics -- 9.5. Moving Forward -- 9.6. Smart Learning analytics -- 9.7. Case Studies -- 9.8. Conclusion -- 9.9. Review Questions.-Chapter 10 -- Case Studies -- 10.1. Recommender systems using learning analytics -- 10.2. Learning Analytics in Higher Education -- 10.3. Other Evidences on the use of Learning Analytics -- Chapter 11. Problems.
520
$a
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
650
0
$a
Education.
$3
555912
650
0
$a
Education—Data processing.
$3
1253610
650
1 4
$a
Education, general.
$3
1068901
650
2 4
$a
Computers and Education.
$3
669806
700
1
$a
Kurni, Muralidhar.
$e
author.
$1
https://orcid.org/0000-0002-3324-893X
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1356477
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030702571
776
0 8
$i
Printed edition:
$z
9783030702595
776
0 8
$i
Printed edition:
$z
9783030702601
830
0
$a
Advances in Analytics for Learning and Teaching,
$x
2662-2122
$3
1317507
856
4 0
$u
https://doi.org/10.1007/978-3-030-70258-8
912
$a
ZDB-2-EDA
912
$a
ZDB-2-SXED
950
$a
Education (SpringerNature-41171)
950
$a
Education (R0) (SpringerNature-43721)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入